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Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)

Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...

Published: 10/2/2024 | Inventor(s): Rajita Patil, Erica Oberman, Brittany Davis, Rhonda Voskuhl, Kathleen Van Dyk, Ravi Aysola, Louise Dixon De Silva, Karol Watson, Lua Jafari, Julie Bernthal, Rashmi Mullur, Albert Shieh, Elizabeth Ko, Katie Hu, Aashini Master, Kelly Mccann, Kelsey Collins, Katherine Unverferth, Tamara Grisales, Amy Rosenman, Andrea Rapkin

Keywords(s): clinical care methodology, clinical decision support, EHR, EHR integration, electronic health records (EHR), FemTech, femtech medical device, lab results analysis, medical bias reduction, Menopause, menopause management, patient questionnaire, period, personalized medicine, predictive analytics, specialist referral, women’s health

Category(s): Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > FemTech

MEDREX (Case No. 2024-244)

Summary: UCLA researchers have developed a new software package to reconcile medication lists between different electronic health records. Background: Reconciliation is a crucial process that ensures patients’ medication lists are accurate. This process is especially important for patients with memory impairments, who may be more vulnerable...

Published: 10/18/2024 | Inventor(s): Li Zhou, Richard Korf, Cindy Liu, Edmond Wen, Advaith Gowrishetty, Jonathan Xu, Nicole Ju

Keywords(s): Software, Software & Algorithms, Software Development Tools, Software-enabled learning

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Programs, Software & Algorithms > Data Analytics

Deep Neural Networks for Real-Time Non-invasive Continuous Peripheral Oxygen Saturation Monitoring (Case No. 2024-227)

Summary: UCLA researchers in the Department of Anesthesiology have developed a novel pulse oximetry methodology utilizing deep neural networks for non-invasive monitoring. Background: In the US alone, over 5 million patients are admitted to the ICU for oxygen saturation monitoring. They, as well as the more than 15 million patients undergoing surgery,...

Published: 7/26/2024 | Inventor(s): Sungsoo (Danny) Kim, Sohee Kwon, Mia Markey, Alan Bovik, Akos Rudas, Ravi Pal, Maxime Cannesson

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Blood Pressure, cardiovascular monitoring, central venous pressure (CVP), Continuous blood pressure monitoring, critical care, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, machine learning modeling, Monitoring (Medicine), neural network, non-invasive monitoring, Oxygen, Oxygen Saturation, pulmonary arterial pressure (PAP), Swan-Ganz catheter

Category(s): Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Digital Health

Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)

Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...

Published: 9/3/2024 | Inventor(s): Maxime Cannesson, Sungsoo (Danny) Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal

Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems

A Method and System for Pre-processing Medical Images (Case No. 2024-177)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel pre-processing computer algorithm for automated medical imaging. Background: The integration of machine learning and artificial intelligence into medical imaging applications offers significant potential to automate the diagnosis of various...

Published: 10/11/2024 | Inventor(s): Bahram Jalali, Callen MacPhee, Yiming Zhou, Koichiro Kishima

Keywords(s): 3D ultrasound imaging, Artificial Intelligence, bioimaging, Computer Vision, histopathology images, Machine Learning, Medical Imaging, MRI, X-Ray

Category(s): Diagnostic Markers > Cancer, Diagnostic Markers > Immunology, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing

Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model to improve understanding and visualization of lung diseases. Background: Chronic lower respiratory disease (ex. COPD) was the sixth leading cause of death in the United States in 2021, taking nearly...

Published: 7/25/2024 | Inventor(s): Anand Santhanam, Brad Stiehl

Keywords(s): Biomechanics, cardiopulmonary illness, Respiratory & Pulmonary, Simulation & Modeling

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Digital Health, Therapeutics > Respiratory And Pulmonary

Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model with which to guide lung elastography. Background: Lung cancer is the leading cause of death from cancer in people in the US. With an increasing focus on improving the patient’s quality of...

Published: 3/27/2024 | Inventor(s): Anand Santhanam, Brad Stiehl

Keywords(s): Biomechanics, cardiopulmonary illness, Respiratory & Pulmonary, Simulation & Modeling

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Digital Health, Therapeutics > Respiratory And Pulmonary

Using Virtual Reality to Diagnose and Treat Neurological and Neuropsychiatric Disorders (Case No. 2020-498)

SUMMARY: UCLA researchers in the Department of Physics and Neurology have developed a virtual reality and AI-based method to diagnose and treat variety of neurological and neuropsychiatric disorders. BACKGROUND: The majority of neurological and neuropsychiatric disorders are treated with medications, psychotherapy, or if necessary, surgery. Because...

Published: 7/29/2024 | Inventor(s): Mayank Mehta

Keywords(s):

Category(s): Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Digital Health, Software & Algorithms > Ar/Vr

Oral Health Recommender System (oHRS) For Promoting Oral Self-Care (Case No. 2023-278)

Intro Sentence: UCLA researchers in the department of dentistry developed a system to promote and enhance at-home oral hygiene practices. Background: Dental disease is a chronic illness caused by inadequate and improper oral self-care behaviors. This condition contributes to gum disease, tooth decay, and eventual tooth loss. Traditional oral hygiene...

Published: 4/11/2024 | Inventor(s): Vivek Shetty, Inbal Nahum-Shan, Susan Murphy

Keywords(s): consumer goods and products, Dental, dental care, dental diseases, dental hygiene, digital health system, generative artificial intelligence, health reminder/recommender systems, oral care, tooth decay, toothpaste

Category(s): Therapeutics, Therapeutics > Dental, Software & Algorithms, Software & Algorithms > Digital Health, Medical Devices, Medical Devices > Monitoring And Recording Systems

Swabseq Agnostic Diagnostic Platform (Case No. 2023-293)

Summary: UCLA researchers in the Departments of Computer Science and Anatomic Pathology have developed an untargeted NGS diagnostic tool capable of detecting all known and emerging respiratory RNA viruses in a single test, enhancing our capacity to rapidly address public health crises through improved diagnostics. Background: Most clinical diagnostic...

Published: 9/17/2024 | Inventor(s): Eleazar Eskin, Valerie Arboleda

Keywords(s): agnostic detection, Bioinformatics, bioinformatics pipeline, Computer-Aided Diagnosis, Diagnostic Markers & Platforms, Diagnostic Test, DNA Sequencing, Medical diagnostics, metagenomic diagnostic platform, meta-genomics, next generation sequencing (NGS), Pathogen, Pathogenesis, Sequencing

Category(s): Platforms, Platforms > Diagnostic Platform Technologies, Life Science Research Tools, Life Science Research Tools > Research Methods, Diagnostic Markers > Targets And Assays, Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Bioinformatics

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